Abstract This article is a reflection on a journey of transdisciplinary partners from two different and unusual (for collaboration) “sets” of disciplines: art photography (Silvio Wolf, SW) and cross-pollinated research in the fields of applied clinical neuroscience and psychoanalysis (Inna Rozentsvit, IR). This relationship started from examining the “beholder’s share” phenomenon and further collaboration on the topics of “thresholds” and “visible/invisible,” as they relate to these two individuals’ personal and professional beings.
{"title":"VIEW ON THRESHOLDS BY TRANSDISCIPLINARY PARTNERS: THE SHARED JOURNEY CONTINUES","authors":"Silvio Wolf, Inna Rozentsvit","doi":"10.1162/leon_a_02357","DOIUrl":"https://doi.org/10.1162/leon_a_02357","url":null,"abstract":"Abstract This article is a reflection on a journey of transdisciplinary partners from two different and unusual (for collaboration) “sets” of disciplines: art photography (Silvio Wolf, SW) and cross-pollinated research in the fields of applied clinical neuroscience and psychoanalysis (Inna Rozentsvit, IR). This relationship started from examining the “beholder’s share” phenomenon and further collaboration on the topics of “thresholds” and “visible/invisible,” as they relate to these two individuals’ personal and professional beings.","PeriodicalId":46524,"journal":{"name":"LEONARDO","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135012719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Disabled sexuality often faces physical, political, and societal barriers. The lack of inclusivity in the sex toy market does not support an autonomous experience for impaired individuals who can’t operate toys without external assistance. LOVEWEAR is an art-science collaborative project that combines user-centered design principles with soft robotics integrated into textiles. The aim is to offer an autonomous experience through haptic feedback, allowing self-exploration of intimate sensations and sexual pleasure to females with motor impairments. A pillow interface activates an underwear garment: while caressing and touching the pillow, the wearer triggers the underwear’s inflatable inserts actuators. This transdisciplinary project used a mixed-methods research design; the objective is to promote the embedment of technology into everyday garments, to improve the wearer’s quality of life.
{"title":"LOVEWEAR: haptic clothing that allows intimate exploration for movement-impaired","authors":"Emanuela Corti, Ivan Parati, Christian Dils","doi":"10.1162/leon_a_02353","DOIUrl":"https://doi.org/10.1162/leon_a_02353","url":null,"abstract":"Abstract Disabled sexuality often faces physical, political, and societal barriers. The lack of inclusivity in the sex toy market does not support an autonomous experience for impaired individuals who can’t operate toys without external assistance. LOVEWEAR is an art-science collaborative project that combines user-centered design principles with soft robotics integrated into textiles. The aim is to offer an autonomous experience through haptic feedback, allowing self-exploration of intimate sensations and sexual pleasure to females with motor impairments. A pillow interface activates an underwear garment: while caressing and touching the pillow, the wearer triggers the underwear’s inflatable inserts actuators. This transdisciplinary project used a mixed-methods research design; the objective is to promote the embedment of technology into everyday garments, to improve the wearer’s quality of life.","PeriodicalId":46524,"journal":{"name":"LEONARDO","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135012717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kostas Terzidis, Filippo Fabrocini, Hyejin Lee, Louis Daumard
Abstract An artificial intelligence-based design methodology is presented based on permutations and neural networks. Elements are combined in all possible ways to form all possible design solutions and a neural network extracts the best solutions after being trained on either objective or subjective criteria. This methodology is projected to have many applications in fashion, architecture, music, storytelling, cooking, or any other design or art field that can be represented as a set of permutations.
{"title":"Deep Permutation Design: A new potential artificial intelligence-based design methodology","authors":"Kostas Terzidis, Filippo Fabrocini, Hyejin Lee, Louis Daumard","doi":"10.1162/leon_a_02359","DOIUrl":"https://doi.org/10.1162/leon_a_02359","url":null,"abstract":"Abstract An artificial intelligence-based design methodology is presented based on permutations and neural networks. Elements are combined in all possible ways to form all possible design solutions and a neural network extracts the best solutions after being trained on either objective or subjective criteria. This methodology is projected to have many applications in fashion, architecture, music, storytelling, cooking, or any other design or art field that can be represented as a set of permutations.","PeriodicalId":46524,"journal":{"name":"LEONARDO","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135012718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The paper presents a human-machine design approach to the artistic and metaphoric representation of the traditional weaving scene of Yunjin brocade as interactive Moiré patterns accompanied by Nanjing Baiju. We extract the basic elements of Moiré patterns and systematically recompose them to mimic the weaving process. Then, we wrote an algorithm to generate eye-shaped Moiré patterns responding dynamically to the unique sounds weavers make while weaving, symbolizing the long and tiring gaze of warp and weft, and eye contacts between weavers. Finally, we develop a sonic interactive installation with the rhythmic machine sound and Nanjing Baiju Sweating Weaving Room, visualizing the hard labor and harmonious work hidden behind the glamourous brocade.
{"title":"Interactive Moiré Patterns Reflecting on the Traditional Nanjing Baiju","authors":"Ye Yang, Guangxi Chen, Mengqi Li, Kang Zhang","doi":"10.1162/leon_a_02361","DOIUrl":"https://doi.org/10.1162/leon_a_02361","url":null,"abstract":"Abstract The paper presents a human-machine design approach to the artistic and metaphoric representation of the traditional weaving scene of Yunjin brocade as interactive Moiré patterns accompanied by Nanjing Baiju. We extract the basic elements of Moiré patterns and systematically recompose them to mimic the weaving process. Then, we wrote an algorithm to generate eye-shaped Moiré patterns responding dynamically to the unique sounds weavers make while weaving, symbolizing the long and tiring gaze of warp and weft, and eye contacts between weavers. Finally, we develop a sonic interactive installation with the rhythmic machine sound and Nanjing Baiju Sweating Weaving Room, visualizing the hard labor and harmonious work hidden behind the glamourous brocade.","PeriodicalId":46524,"journal":{"name":"LEONARDO","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135012951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In his Artist’s Note in this issue, Raphael Arar shares how his installation An Ecological Oracle engages participants with real-time data experiments to expose the tension between the individual and the collective underlying a critical tipping point of climate change—the thawing of permafrost. Likewise, this tension surrounds other critical tipping points confronting the planet, species, and vital intersecting systems of earth. Ultimately, the recognition of our inherent interconnectedness may be what remediates, if not reconciles, our individual and collective interests, perspectives, and behavior.Moriba Jah [1], Chief Science Officer and cofounder of Privateer, emphasized in his remarks at the AI for Good Summit [2] (July 2023, Geneva, Switzerland) that one of the key potential benefits of artificial intelligence (AI) is to “help humanity see evidence of interconnectedness.” “We can’t achieve sustainability … in the absence of machines. Machines are here to help!” says Jah. Indeed, AI is essential to decipher causal and correlative relationships indicated at scale within otherwise impenetrable and massive aggregate data blocs that defy unassisted human capacity. Jah’s call to action: “Empathy, empathy, empathy! Think like a species and embrace interconnectivity and stewardship!”Following this call for interconnection by AI-driven data visualization, artists and advocates are trailblazing paths that give legibility and meaning to what Andrew Zolli, Chief Impact Officer of Planet.com [3], describes as the “data deluge” that defines, if not overwhelms, human society today. While we need to close the digital divide for the 2.7 billion people who are not yet online, the other nearly 5.5 billion of us are at risk of being lost in a sea of data. The central challenge is not only data access for individuals but also a way to make sense of it for the collective. Seeing data as a creative medium, artists unlock on-ramps for an AI participation revolution. Experimental data art can help visualize and sonify patterns, create entry points, and chart new trajectories for all to engage with data in a meaningful, legible way. AI artists also introduce data encounters with human playfulness, humility, and empathy, reinforcing essential qualities of humanity and humanness.Integrating individual aspiration with collective manifestation, the Our Future Life (OFL) project, a global, futurepositive movement, aims to create “the world’s most inclusive brainstorm” [4], inviting participants around the planet to imagine and upload digital visions of a shared future for humanity. OFL, employing AI to sift, sort, and synthesize individual submissions, aims to reveal a collective vision of how humans might thrive on the planet, allowing us to see the change we want to be in the world. Through its partnership with Leonardo and Arizona State University, OFL is demonstrating that the future of hope is an iterative process, one that begins with each and all of us and that is
在本期的艺术家笔记中，Raphael Arar分享了他的装置作品《生态神谕》(An Ecological Oracle)是如何让参与者参与实时数据实验，以揭示个人与集体之间的紧张关系，这种紧张关系隐藏在气候变化的一个关键临界点——永久冻土的融化。同样，这种紧张关系也围绕着地球、物种和地球上重要的交叉系统所面临的其他关键临界点。最终，认识到我们内在的相互联系可能会纠正(如果不能调和)我们个人和集体的利益、观点和行为。Privateer首席科学官兼联合创始人Moriba Jah[1]在AI for Good峰会[1](2023年7月，瑞士日内瓦)上的讲话中强调，人工智能(AI)的一个关键潜在好处是“帮助人类看到相互联系的证据”。“如果没有机器，我们就无法实现可持续发展。”机器在这里提供帮助!耶和华说。事实上，人工智能对于破译因果关系和相关关系至关重要，这些因果关系和相关关系是在难以理解的大量汇总数据块中大规模显示的，而这些数据块是人类无法独立完成的。上帝的行动号召:“移情，移情，移情!像一个物种一样思考，拥抱相互联系和管理!”在人工智能驱动的数据可视化对互联的呼吁之后，艺术家和倡导者正在开辟道路，为Planet.com[3]首席影响官安德鲁·佐利(Andrew Zolli)所描述的“数据洪流”提供可读性和意义，即使不是压倒性的，也是定义当今人类社会的“数据洪流”。虽然我们需要为尚未上网的27亿人缩小数字鸿沟，但另外近55亿人有可能迷失在数据的海洋中。核心挑战不仅是个人的数据访问，而且是一种使其对集体有意义的方法。艺术家们将数据视为一种创造性的媒介，开启了人工智能参与革命的大门。实验数据艺术可以帮助可视化和美化模式，创建切入点，并为所有人绘制新的轨迹，以一种有意义的、易读的方式参与数据。人工智能艺术家还引入了具有人类游戏性、谦卑性和同理心的数据遭遇，强化了人性和人性的基本品质。我们的未来生活(OFL)项目是一项将个人愿望与集体表现相结合的全球性未来积极运动，旨在创造“世界上最具包容性的头脑风暴”[4]，邀请全球参与者想象并上传人类共同未来的数字愿景。OFL利用人工智能对个人提交的作品进行筛选、分类和综合，旨在揭示人类如何在地球上茁壮成长的集体愿景，让我们看到我们希望在世界上发生的变化。通过与莱昂纳多和亚利桑那州立大学的合作，OFL正在证明希望的未来是一个迭代的过程，一个从我们每个人开始，并且已经在进行中的过程。《光之息》(由刘品瑶、约翰·德斯诺耶斯-斯图尔特、叶卡捷琳娜·r·斯捷潘诺娃和伯恩哈德·e·里克合著)提供了另一个创造性的合作，阐明了个人与集体之间的相互联系。作为一个沉浸式的呼吸反应装置，光的呼吸强调了呼吸的技术调解的潜力，一种内在的和亲密的个人体验，“恢复共享呼吸的连接内涵，培养内部感知意识，反思和人与人之间的联系”[5]。在对人工智能数据的实验中，艺术家和创新者正在寻找新的方式来揭示和拥抱人类与非人类系统、生态系统和所有生物之间的基本相互联系。通过这种创造性的工作、学术研究和实践，我们可以帮助纠正(如果不能消除的话)个人与集体之间的紧张关系，突破，面对我们这个时代的关键转折点。
{"title":"Remediating the Individual and the Collective","authors":"Diana Ayton-Shenker","doi":"10.1162/leon_e_02462","DOIUrl":"https://doi.org/10.1162/leon_e_02462","url":null,"abstract":"In his Artist’s Note in this issue, Raphael Arar shares how his installation An Ecological Oracle engages participants with real-time data experiments to expose the tension between the individual and the collective underlying a critical tipping point of climate change—the thawing of permafrost. Likewise, this tension surrounds other critical tipping points confronting the planet, species, and vital intersecting systems of earth. Ultimately, the recognition of our inherent interconnectedness may be what remediates, if not reconciles, our individual and collective interests, perspectives, and behavior.Moriba Jah [1], Chief Science Officer and cofounder of Privateer, emphasized in his remarks at the AI for Good Summit [2] (July 2023, Geneva, Switzerland) that one of the key potential benefits of artificial intelligence (AI) is to “help humanity see evidence of interconnectedness.” “We can’t achieve sustainability … in the absence of machines. Machines are here to help!” says Jah. Indeed, AI is essential to decipher causal and correlative relationships indicated at scale within otherwise impenetrable and massive aggregate data blocs that defy unassisted human capacity. Jah’s call to action: “Empathy, empathy, empathy! Think like a species and embrace interconnectivity and stewardship!”Following this call for interconnection by AI-driven data visualization, artists and advocates are trailblazing paths that give legibility and meaning to what Andrew Zolli, Chief Impact Officer of Planet.com [3], describes as the “data deluge” that defines, if not overwhelms, human society today. While we need to close the digital divide for the 2.7 billion people who are not yet online, the other nearly 5.5 billion of us are at risk of being lost in a sea of data. The central challenge is not only data access for individuals but also a way to make sense of it for the collective. Seeing data as a creative medium, artists unlock on-ramps for an AI participation revolution. Experimental data art can help visualize and sonify patterns, create entry points, and chart new trajectories for all to engage with data in a meaningful, legible way. AI artists also introduce data encounters with human playfulness, humility, and empathy, reinforcing essential qualities of humanity and humanness.Integrating individual aspiration with collective manifestation, the Our Future Life (OFL) project, a global, futurepositive movement, aims to create “the world’s most inclusive brainstorm” [4], inviting participants around the planet to imagine and upload digital visions of a shared future for humanity. OFL, employing AI to sift, sort, and synthesize individual submissions, aims to reveal a collective vision of how humans might thrive on the planet, allowing us to see the change we want to be in the world. Through its partnership with Leonardo and Arizona State University, OFL is demonstrating that the future of hope is an iterative process, one that begins with each and all of us and that is","PeriodicalId":46524,"journal":{"name":"LEONARDO","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135845680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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